Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks. - Min Chen 006; Jiancong Wang; Ipek Oguz; Brian L. Vanderbeek; James C. Gee (FIFI/OMIA@MICCAI, 2017)

Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study. - William Lindsay; Jiancong Wang; Nicholas Sachs; Eduardo Barbosa; James C. Gee (RAMBO+BIA+TIA@MICCAI, 2018)

Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. - Baris U. Oguz; Jiancong Wang; Natalie Yushkevich; Alison M. Pouch; James C. Gee; Paul A. Yushkevich; Nadav Schwartz; Ipek Oguz (DATRA/PIPPI@MICCAI, 2018)

Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. - Long Xie; Laura E. M. Wisse; Sandhitsu R. Das; Ranjit Ittyerah; Jiancong Wang; David A. Wolk; Paul A. Yushkevich (ShapeMI@MICCAI, 2018)

Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. - Daniel H. Adler; Laura E. M. Wisse; Ranjit Ittyerah; John Pluta; Song-Lin Ding; Long Xie; Jiancong Wang; Salmon Kadivar; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; et al. (Proc. Natl. Acad. Sci. USA, 2018)

Diffeomorphic Medial Modeling. - Paul A. Yushkevich; Ahmed H. Aly; Jiancong Wang; Long Xie; Robert C. Gorman; Laurent Younes; Alison M. Pouch (IPMI, 2019)

Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. - Long Xie; Jiancong Wang; Mengjin Dong; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2019)

Barnes-Hut Approximation for Point SetGeodesic Shooting. - Jiancong Wang; Long Xie; Paul A. Yushkevich; James C. Gee (CoRR, 2019)

Fast geodesic shooting for landmark matching using CUDA. - Jiancong Wang (CoRR, 2019)

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. - Jeffrey D. Rudie; David A. Weiss; Rachit Saluja; Andreas M. Rauschecker; Jiancong Wang; Leo Sugrue; Spyridon Bakas; John B. Colby (Frontiers Comput. Neurosci., 2019)

Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning. - Yumeng Guo; Fulai Chung; Guozheng Li 001; Jiancong Wang; James C. Gee (ACM Trans. Knowl. Discov. Data, 2019)

Nested Scale-Editing for Conditional Image Synthesis. - Lingzhi Zhang; Jiancong Wang; Yinshuang Xu; Jie Min; Tarmily Wen; James C. Gee; Jianbo Shi (CVPR, 2020)

Learning Object Placement by Inpainting for Compositional Data Augmentation. - Lingzhi Zhang; Tarmily Wen; Jie Min; Jiancong Wang; David Han; Jianbo Shi (ECCV (13), 2020)

Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound. - Alison M. Pouch; Paul A. Yushkevich; Abdullah H. Aly; Alexander H. F. Woltersom; Edidiong Okon; Ahmed H. Aly; Natalie Yushkevich; Shobhana Parameshwaran; Jiancong Wang; Baris U. Oguz; James C. Gee; Ipek Oguz; et al. (ISBI, 2020)

3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. - Paul A. Yushkevich; Maria Mercedes Iñiguez de Onzoño Martin; Ranjit Ittyerah; Sydney Lim; Madigan Lavery; Jiancong Wang; Alex Ling Yu Hung; Nicolas Vergnet; Sadhana Ravikumar; Long Xie; Mengjin Dong; Robin DeFlores; et al. (ISBI, 2020)

Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT. - Yifan Wu; Jiancong Wang; William Lindsay; Tarmily Wen; Jianbo Shi; James C. Gee (MICCAI (6), 2020)

Enhanced generative adversarial network for 3D brain MRI super-resolution. - Jiancong Wang; Yuhua Chen; Yifan Wu; Jianbo Shi; James C. Gee (WACV, 2020)

Multimodal Image Outpainting with Regularized Normalized Diversification. - Lingzhi Zhang; Jiancong Wang; Jianbo Shi (WACV, 2020)

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2020)

Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. - Long Xie; Laura E. M. Wisse; Jiancong Wang; Sadhana Ravikumar; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (IPMI, 2021)

Deep Learning Based Method for Identifying Passion Fruit Pests. - Jiancong Wang; Kangshun Li (ISICA, 2021)

Deformable Image Registration using Neural ODEs. - Yifan Wu; Tom Z. Jiahao; Jiancong Wang; Paul A. Yushkevich; James C. Gee; M. Ani Hsieh (CoRR, 2021)

DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (NeuroImage, 2021)

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. - Yifan Wu; Tom Z. Jiahao; Jiancong Wang; Paul A. Yushkevich; M. Ani Hsieh; James C. Gee (CVPR, 2022)

Inpaint2Learn: A Self-Supervised Framework for Affordance Learning. - Lingzhi Zhang; Weiyu Du; Shenghao Zhou; Jiancong Wang; Jianbo Shi (WACV, 2022)

A fast and lightweight detection algorithm for passion fruit pests based on improved YOLOv5. - Kangshun Li; Jiancong Wang; Hassan Jalil; Hui Wang (Comput. Electron. Agric., 2023)

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2023)

Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. - Long Xie; Laura E. M. Wisse; Jiancong Wang; Sadhana Ravikumar; Pulkit Khandelwal; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (Medical Image Anal., 2023)